Flashcards
Bayesian Data analysis
Flashcards do conjunto (5)
- 1\[P(\theta)\]Prior Information probability of any parameter \[\theta\]
- 2\[P(D|\theta)\]Generative Model of probability of Data D given certain parameters \[\theta\]
- 3\[\sum P(\theta) \cdot P(D|\theta) \] = P(D)Total probability of getting data D for each value of the parameters \[\theta\]
- 4\[P(\theta|D)\]Posterior Probability of different \[\theta\] given data D
- 5\[P(\theta|D)= \frac{P(D|\theta) \cdot P(\theta)}{\sum P(\theta) \cdot P(D|\theta)}\]\[Posterior Prob= \frac{Generative Model \cdot Prior Prob}{Total Prob of getting D}\]